Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 9646 |
| Missing cells | 125 |
| Missing cells (%) | 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 979.8 KiB |
| Average record size in memory | 104.0 B |
Variable types
| Categorical | 3 |
|---|---|
| Numeric | 10 |
agency has a high cardinality: 1056 distinct values | High cardinality |
population is highly correlated with robbery and 1 other fields | High correlation |
robbery is highly correlated with population and 4 other fields | High correlation |
assault is highly correlated with population and 4 other fields | High correlation |
burglary is highly correlated with robbery and 4 other fields | High correlation |
larceny is highly correlated with robbery and 4 other fields | High correlation |
auto_theft is highly correlated with burglary and 2 other fields | High correlation |
total is highly correlated with robbery and 4 other fields | High correlation |
larceny is highly correlated with auto_theft and 1 other fields | High correlation |
auto_theft is highly correlated with larceny and 1 other fields | High correlation |
total is highly correlated with larceny and 1 other fields | High correlation |
robbery is highly correlated with assault | High correlation |
assault is highly correlated with robbery | High correlation |
burglary is highly correlated with larceny and 2 other fields | High correlation |
larceny is highly correlated with burglary and 2 other fields | High correlation |
auto_theft is highly correlated with burglary and 2 other fields | High correlation |
total is highly correlated with burglary and 2 other fields | High correlation |
county_name is highly correlated with population | High correlation |
population is highly correlated with county_name | High correlation |
murder is highly correlated with rape | High correlation |
rape is highly correlated with murder | High correlation |
robbery is highly correlated with larceny and 2 other fields | High correlation |
assault is highly correlated with larceny and 1 other fields | High correlation |
larceny is highly correlated with robbery and 3 other fields | High correlation |
auto_theft is highly correlated with robbery and 2 other fields | High correlation |
total is highly correlated with robbery and 3 other fields | High correlation |
population has 125 (1.3%) missing values | Missing |
robbery is highly skewed (γ1 = 50.75171203) | Skewed |
assault is highly skewed (γ1 = 79.5400419) | Skewed |
larceny is highly skewed (γ1 = 47.28986587) | Skewed |
auto_theft is highly skewed (γ1 = 31.76598427) | Skewed |
total is highly skewed (γ1 = 45.38515893) | Skewed |
population has 1135 (11.8%) zeros | Zeros |
murder has 8427 (87.4%) zeros | Zeros |
rape has 6523 (67.6%) zeros | Zeros |
robbery has 5179 (53.7%) zeros | Zeros |
assault has 2706 (28.1%) zeros | Zeros |
burglary has 2492 (25.8%) zeros | Zeros |
larceny has 1326 (13.7%) zeros | Zeros |
auto_theft has 3954 (41.0%) zeros | Zeros |
total has 913 (9.5%) zeros | Zeros |
Reproduction
| Analysis started | 2023-03-27 19:56:57.120152 |
|---|---|
| Analysis finished | 2023-03-27 19:57:30.017158 |
| Duration | 32.9 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 75.5 KiB |
| BERGEN | |
|---|---|
| MONMOUTH | |
| MORRIS | |
| CAMDEN | |
| BURLINGTON | |
| Other values (16) |
Length
| Max length | 10 |
|---|---|
| Median length | 6 |
| Mean length | 6.972838482 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ATLANTIC |
|---|---|
| 2nd row | ATLANTIC |
| 3rd row | ATLANTIC |
| 4th row | ATLANTIC |
| 5th row | ATLANTIC |
Common Values
| Value | Count | Frequency (%) |
| BERGEN | 1250 | |
| MONMOUTH | 891 | 9.2% |
| MORRIS | 706 | 7.3% |
| CAMDEN | 689 | 7.1% |
| BURLINGTON | 589 | 6.1% |
| OCEAN | 589 | 6.1% |
| MIDDLESEX | 500 | 5.2% |
| ESSEX | 494 | 5.1% |
| GLOUCESTER | 468 | 4.9% |
| UNION | 432 | 4.5% |
| Other values (11) | 3038 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| bergen | 1250 | 12.6% |
| monmouth | 891 | 9.0% |
| morris | 706 | 7.1% |
| camden | 689 | 7.0% |
| burlington | 589 | 5.9% |
| ocean | 589 | 5.9% |
| middlesex | 500 | 5.0% |
| essex | 494 | 5.0% |
| gloucester | 468 | 4.7% |
| union | 432 | 4.4% |
| Other values (12) | 3304 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
year
Real number (ℝ≥0)
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2018.797636 |
| Minimum | 2017 |
|---|---|
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 2017 |
|---|---|
| 5-th percentile | 2017 |
| Q1 | 2018 |
| median | 2019 |
| Q3 | 2020 |
| 95-th percentile | 2020 |
| Maximum | 2020 |
| Range | 3 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 0.9813705944 |
|---|---|
| Coefficient of variation (CV) | 0.0004861163777 |
| Kurtosis | -1.053998367 |
| Mean | 2018.797636 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.2291850482 |
| Sum | 19473322 |
| Variance | 0.9630882435 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=4)
| Value | Count | Frequency (%) |
| 2018 | 2890 | |
| 2019 | 2890 | |
| 2020 | 2890 | |
| 2017 | 976 | 10.1% |
| Value | Count | Frequency (%) |
| 2017 | 976 | 10.1% |
| 2018 | 2890 | |
| 2019 | 2890 | |
| 2020 | 2890 |
| Value | Count | Frequency (%) |
| 2020 | 2890 | |
| 2019 | 2890 | |
| 2018 | 2890 | |
| 2017 | 976 | 10.1% |
| Distinct | 1056 |
|---|---|
| Distinct (%) | 10.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 75.5 KiB |
| WASHINGTON TWP PD | 60 |
|---|---|
| FRANKLIN TWP PD | 45 |
| SPRINGFIELD TWP PD | 30 |
| MANSFIELD TWP PD | 30 |
| MONROE TWP PD | 30 |
| Other values (1051) |
Length
| Max length | 39 |
|---|---|
| Median length | 15 |
| Mean length | 16.07609372 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Absecon |
|---|---|
| 2nd row | Absecon |
| 3rd row | Atlantic City |
| 4th row | Atlantic City |
| 5th row | Brigantine |
Common Values
| Value | Count | Frequency (%) |
| WASHINGTON TWP PD | 60 | 0.6% |
| FRANKLIN TWP PD | 45 | 0.5% |
| SPRINGFIELD TWP PD | 30 | 0.3% |
| MANSFIELD TWP PD | 30 | 0.3% |
| MONROE TWP PD | 30 | 0.3% |
| OCEAN TWP PD | 30 | 0.3% |
| GREENWICH TWP PD | 30 | 0.3% |
| HAMILTON TWP PD | 30 | 0.3% |
| BRIDGETON PD | 15 | 0.2% |
| CUMBERLAND CO PROSECUTOR'S OFFICE | 15 | 0.2% |
| Other values (1046) | 9331 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| pd | 7350 | |
| twp | 1950 | 7.1% |
| boro | 860 | 3.2% |
| co | 630 | 2.3% |
| county | 419 | 1.5% |
| police | 407 | 1.5% |
| township | 384 | 1.4% |
| office | 360 | 1.3% |
| park | 353 | 1.3% |
| state | 330 | 1.2% |
| Other values (497) | 14243 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
report_type
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 75.5 KiB |
| Number of Offenses | |
|---|---|
| Rate Per 100,000 | |
| Number of Clearances | |
| Percent Cleared | |
| Number of Arrests |
Length
| Max length | 20 |
|---|---|
| Median length | 17 |
| Mean length | 17.17976363 |
| Min length | 15 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Number of Offenses |
|---|---|
| 2nd row | Rate Per 100,000 |
| 3rd row | Number of Offenses |
| 4th row | Rate Per 100,000 |
| 5th row | Number of Offenses |
Common Values
| Value | Count | Frequency (%) |
| Number of Offenses | 2222 | |
| Rate Per 100,000 | 2222 | |
| Number of Clearances | 1734 | |
| Percent Cleared | 1734 | |
| Number of Arrests | 1734 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| number | 5690 | |
| of | 5690 | |
| offenses | 2222 | 8.2% |
| rate | 2222 | 8.2% |
| per | 2222 | 8.2% |
| 100,000 | 2222 | 8.2% |
| clearances | 1734 | 6.4% |
| percent | 1734 | 6.4% |
| cleared | 1734 | 6.4% |
| arrests | 1734 | 6.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 965 |
|---|---|
| Distinct (%) | 10.1% |
| Missing | 125 |
| Missing (%) | 1.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15751.88762 |
| Minimum | 0 |
|---|---|
| Maximum | 283673 |
| Zeros | 1135 |
| Zeros (%) | 11.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2934 |
| median | 8271 |
| Q3 | 18874 |
| 95-th percentile | 55348 |
| Maximum | 283673 |
| Range | 283673 |
| Interquartile range (IQR) | 15940 |
Descriptive statistics
| Standard deviation | 24654.68159 |
|---|---|
| Coefficient of variation (CV) | 1.565189023 |
| Kurtosis | 45.91403376 |
| Mean | 15751.88762 |
| Median Absolute Deviation (MAD) | 6505 |
| Skewness | 5.373037278 |
| Sum | 149973722 |
| Variance | 607853324.5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1135 | 11.8% |
| 5844 | 30 | 0.3% |
| 11602 | 30 | 0.3% |
| 3463 | 30 | 0.3% |
| 7679 | 30 | 0.3% |
| 10308 | 30 | 0.3% |
| 10504 | 17 | 0.2% |
| 11 | 17 | 0.2% |
| 730 | 17 | 0.2% |
| 12748 | 17 | 0.2% |
| Other values (955) | 8168 | |
| (Missing) | 125 | 1.3% |
| Value | Count | Frequency (%) |
| 0 | 1135 | |
| 5 | 7 | 0.1% |
| 11 | 17 | 0.2% |
| 68 | 15 | 0.2% |
| 69 | 2 | < 0.1% |
| 181 | 17 | 0.2% |
| 247 | 2 | < 0.1% |
| 249 | 15 | 0.2% |
| 277 | 15 | 0.2% |
| 279 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 283673 | 2 | < 0.1% |
| 282258 | 15 | |
| 270175 | 15 | |
| 267906 | 2 | < 0.1% |
| 147690 | 2 | < 0.1% |
| 146893 | 15 | |
| 129726 | 2 | < 0.1% |
| 129080 | 15 | |
| 102915 | 15 | |
| 102759 | 2 | < 0.1% |
| Distinct | 262 |
|---|---|
| Distinct (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.361580343 |
| Minimum | 0 |
|---|---|
| Maximum | 232.8 |
| Zeros | 8427 |
| Zeros (%) | 87.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 4.6 |
| Maximum | 232.8 |
| Range | 232.8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 13.92887355 |
|---|---|
| Coefficient of variation (CV) | 5.898115468 |
| Kurtosis | 73.8243738 |
| Mean | 2.361580343 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 7.962270118 |
| Sum | 22779.80399 |
| Variance | 194.0135183 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 8427 | |
| 1 | 433 | 4.5% |
| 100 | 125 | 1.3% |
| 2 | 113 | 1.2% |
| 3 | 61 | 0.6% |
| 4 | 24 | 0.2% |
| 5 | 19 | 0.2% |
| 50 | 14 | 0.1% |
| 6 | 13 | 0.1% |
| 7 | 9 | 0.1% |
| Other values (252) | 408 | 4.2% |
| Value | Count | Frequency (%) |
| 0 | 8427 | |
| 0.9731507702 | 1 | < 0.1% |
| 0.9791538153 | 1 | < 0.1% |
| 1 | 433 | 4.5% |
| 1.1 | 3 | < 0.1% |
| 1.127103457 | 1 | < 0.1% |
| 1.2 | 1 | < 0.1% |
| 1.3 | 1 | < 0.1% |
| 1.4 | 2 | < 0.1% |
| 1.40740011 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 232.8 | 1 | < 0.1% |
| 200 | 8 | 0.1% |
| 150 | 1 | < 0.1% |
| 133 | 1 | < 0.1% |
| 104.4 | 1 | < 0.1% |
| 100 | 125 | |
| 86 | 1 | < 0.1% |
| 80 | 1 | < 0.1% |
| 77 | 1 | < 0.1% |
| 76.9 | 1 | < 0.1% |
| Distinct | 626 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.746099791 |
| Minimum | 0 |
|---|---|
| Maximum | 300 |
| Zeros | 6523 |
| Zeros (%) | 67.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 36.4 |
| Maximum | 300 |
| Range | 300 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 17.90149691 |
|---|---|
| Coefficient of variation (CV) | 3.11541699 |
| Kurtosis | 33.24681081 |
| Mean | 5.746099791 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.959139155 |
| Sum | 55426.87858 |
| Variance | 320.4635918 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 6523 | |
| 1 | 786 | 8.1% |
| 2 | 320 | 3.3% |
| 3 | 190 | 2.0% |
| 100 | 135 | 1.4% |
| 4 | 113 | 1.2% |
| 5 | 93 | 1.0% |
| 50 | 72 | 0.7% |
| 6 | 62 | 0.6% |
| 7 | 52 | 0.5% |
| Other values (616) | 1300 | 13.5% |
| Value | Count | Frequency (%) |
| 0 | 6523 | |
| 1 | 786 | 8.1% |
| 1.427490614 | 1 | < 0.1% |
| 1.5 | 3 | < 0.1% |
| 1.7 | 1 | < 0.1% |
| 1.821394095 | 1 | < 0.1% |
| 1.9 | 1 | < 0.1% |
| 2 | 320 | 3.3% |
| 2.1 | 2 | < 0.1% |
| 2.2 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 300 | 1 | < 0.1% |
| 250 | 1 | < 0.1% |
| 232.8 | 1 | < 0.1% |
| 200 | 1 | < 0.1% |
| 170.4 | 1 | < 0.1% |
| 167 | 1 | < 0.1% |
| 165.1 | 1 | < 0.1% |
| 157.6 | 1 | < 0.1% |
| 157.1 | 1 | < 0.1% |
| 150 | 3 |
| Distinct | 927 |
|---|---|
| Distinct (%) | 9.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.04854483 |
| Minimum | 0 |
|---|---|
| Maximum | 5797.101449 |
| Zeros | 5179 |
| Zeros (%) | 53.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 8 |
| 95-th percentile | 75 |
| Maximum | 5797.101449 |
| Range | 5797.101449 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 74.20257555 |
|---|---|
| Coefficient of variation (CV) | 4.930880452 |
| Kurtosis | 3833.987558 |
| Mean | 15.04854483 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 50.75171203 |
| Sum | 145158.2635 |
| Variance | 5506.022218 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5179 | |
| 1 | 760 | 7.9% |
| 2 | 408 | 4.2% |
| 3 | 254 | 2.6% |
| 4 | 179 | 1.9% |
| 100 | 151 | 1.6% |
| 5 | 150 | 1.6% |
| 6 | 110 | 1.1% |
| 50 | 109 | 1.1% |
| 9 | 83 | 0.9% |
| Other values (917) | 2263 |
| Value | Count | Frequency (%) |
| 0 | 5179 | |
| 1 | 760 | 7.9% |
| 1.9 | 1 | < 0.1% |
| 2 | 408 | 4.2% |
| 2.5 | 5 | 0.1% |
| 3 | 254 | 2.6% |
| 3.1 | 2 | < 0.1% |
| 3.300221115 | 1 | < 0.1% |
| 3.4 | 2 | < 0.1% |
| 3.585385967 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 5797.101449 | 1 | |
| 1070 | 1 | |
| 689 | 1 | |
| 636 | 1 | |
| 589.4855035 | 1 | |
| 588.0676666 | 1 | |
| 571.3 | 1 | |
| 551.8243853 | 1 | |
| 534 | 1 | |
| 532 | 1 |
| Distinct | 1331 |
|---|---|
| Distinct (%) | 13.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35.77837206 |
| Minimum | 0 |
|---|---|
| Maximum | 20000 |
| Zeros | 2706 |
| Zeros (%) | 28.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 5 |
| Q3 | 40.76535647 |
| 95-th percentile | 115 |
| Maximum | 20000 |
| Range | 20000 |
| Interquartile range (IQR) | 40.76535647 |
Descriptive statistics
| Standard deviation | 218.4232365 |
|---|---|
| Coefficient of variation (CV) | 6.104895889 |
| Kurtosis | 7239.206448 |
| Mean | 35.77837206 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 79.5400419 |
| Sum | 345118.1768 |
| Variance | 47708.71023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2706 | |
| 1 | 789 | 8.2% |
| 2 | 521 | 5.4% |
| 100 | 436 | 4.5% |
| 3 | 342 | 3.5% |
| 4 | 288 | 3.0% |
| 5 | 226 | 2.3% |
| 6 | 208 | 2.2% |
| 7 | 163 | 1.7% |
| 8 | 152 | 1.6% |
| Other values (1321) | 3815 |
| Value | Count | Frequency (%) |
| 0 | 2706 | |
| 1 | 789 | 8.2% |
| 2 | 521 | 5.4% |
| 3 | 342 | 3.5% |
| 3.673904258 | 1 | < 0.1% |
| 3.7 | 1 | < 0.1% |
| 3.8 | 1 | < 0.1% |
| 3.9 | 1 | < 0.1% |
| 4 | 288 | 3.0% |
| 4.3 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 1 | |
| 1470.6 | 1 | |
| 1449.275362 | 1 | |
| 1284.001131 | 1 | |
| 1280 | 1 | |
| 1192.2 | 1 | |
| 1155 | 1 | |
| 1045.9 | 1 | |
| 1036.8 | 1 | |
| 1033.6 | 1 |
| Distinct | 1715 |
|---|---|
| Distinct (%) | 17.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 51.61983173 |
| Minimum | 0 |
|---|---|
| Maximum | 2068.302068 |
| Zeros | 2492 |
| Zeros (%) | 25.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 7 |
| Q3 | 38 |
| 95-th percentile | 258.3318401 |
| Maximum | 2068.302068 |
| Range | 2068.302068 |
| Interquartile range (IQR) | 38 |
Descriptive statistics
| Standard deviation | 128.4650459 |
|---|---|
| Coefficient of variation (CV) | 2.488676186 |
| Kurtosis | 41.86164662 |
| Mean | 51.61983173 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 5.420449065 |
| Sum | 497924.8968 |
| Variance | 16503.26803 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2492 | |
| 1 | 682 | 7.1% |
| 2 | 442 | 4.6% |
| 3 | 348 | 3.6% |
| 4 | 290 | 3.0% |
| 5 | 236 | 2.4% |
| 6 | 219 | 2.3% |
| 8 | 188 | 1.9% |
| 7 | 169 | 1.8% |
| 11 | 160 | 1.7% |
| Other values (1705) | 4420 |
| Value | Count | Frequency (%) |
| 0 | 2492 | |
| 1 | 682 | 7.1% |
| 2 | 442 | 4.6% |
| 3 | 348 | 3.6% |
| 4 | 290 | 3.0% |
| 5 | 236 | 2.4% |
| 6 | 219 | 2.3% |
| 7 | 169 | 1.8% |
| 7.1 | 1 | < 0.1% |
| 7.8 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2068.302068 | 1 | |
| 1732.283465 | 1 | |
| 1715.7 | 1 | |
| 1629.3 | 1 | |
| 1587 | 1 | |
| 1549.413735 | 1 | |
| 1360.5 | 1 | |
| 1351.4 | 1 | |
| 1323.1 | 1 | |
| 1300 | 1 |
| Distinct | 2362 |
|---|---|
| Distinct (%) | 24.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 333.6074983 |
| Minimum | 0 |
|---|---|
| Maximum | 194117.6 |
| Zeros | 1326 |
| Zeros (%) | 13.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 5 |
| median | 25 |
| Q3 | 198.15 |
| 95-th percentile | 1311.733834 |
| Maximum | 194117.6 |
| Range | 194117.6 |
| Interquartile range (IQR) | 193.15 |
Descriptive statistics
| Standard deviation | 3398.150131 |
|---|---|
| Coefficient of variation (CV) | 10.1860724 |
| Kurtosis | 2387.100962 |
| Mean | 333.6074983 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 47.28986587 |
| Sum | 3217977.928 |
| Variance | 11547424.31 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1326 | 13.7% |
| 1 | 309 | 3.2% |
| 2 | 271 | 2.8% |
| 3 | 238 | 2.5% |
| 5 | 192 | 2.0% |
| 6 | 188 | 1.9% |
| 4 | 187 | 1.9% |
| 9 | 167 | 1.7% |
| 7 | 166 | 1.7% |
| 8 | 157 | 1.6% |
| Other values (2352) | 6445 |
| Value | Count | Frequency (%) |
| 0 | 1326 | |
| 1 | 309 | 3.2% |
| 2 | 271 | 2.8% |
| 3 | 238 | 2.5% |
| 4 | 187 | 1.9% |
| 5 | 192 | 2.0% |
| 6 | 188 | 1.9% |
| 7 | 166 | 1.7% |
| 8 | 157 | 1.6% |
| 9 | 167 | 1.7% |
| Value | Count | Frequency (%) |
| 194117.6 | 1 | |
| 175362.3188 | 1 | |
| 145588.2 | 1 | |
| 129411.8 | 1 | |
| 20000 | 2 | |
| 17885.5 | 1 | |
| 13149.6063 | 1 | |
| 11633.9 | 1 | |
| 11526.2 | 1 | |
| 11152 | 1 |
auto_theft
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 1338 |
|---|---|
| Distinct (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.5754178 |
| Minimum | 0 |
|---|---|
| Maximum | 7352.9 |
| Zeros | 3954 |
| Zeros (%) | 41.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 17 |
| 95-th percentile | 104.7584032 |
| Maximum | 7352.9 |
| Range | 7352.9 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 123.207139 |
|---|---|
| Coefficient of variation (CV) | 4.817404744 |
| Kurtosis | 1548.240139 |
| Mean | 25.5754178 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 31.76598427 |
| Sum | 246700.4801 |
| Variance | 15179.99911 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3954 | |
| 1 | 934 | 9.7% |
| 2 | 470 | 4.9% |
| 3 | 311 | 3.2% |
| 4 | 269 | 2.8% |
| 5 | 184 | 1.9% |
| 6 | 167 | 1.7% |
| 7 | 131 | 1.4% |
| 8 | 117 | 1.2% |
| 9 | 100 | 1.0% |
| Other values (1328) | 3009 |
| Value | Count | Frequency (%) |
| 0 | 3954 | |
| 1 | 934 | 9.7% |
| 2 | 470 | 4.9% |
| 3 | 311 | 3.2% |
| 3.4 | 1 | < 0.1% |
| 3.9 | 1 | < 0.1% |
| 4 | 269 | 2.8% |
| 4.2 | 1 | < 0.1% |
| 4.254775986 | 1 | < 0.1% |
| 4.5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7352.9 | 1 | |
| 4411.8 | 1 | |
| 2898.550725 | 1 | |
| 2465.8 | 1 | |
| 2392 | 1 | |
| 2015 | 1 | |
| 1707 | 1 | |
| 1643.8 | 1 | |
| 1606.4 | 1 | |
| 1541 | 1 |
| Distinct | 2519 |
|---|---|
| Distinct (%) | 26.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 446.587915 |
| Minimum | 0 |
|---|---|
| Maximum | 202941.2 |
| Zeros | 913 |
| Zeros (%) | 9.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 75.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 10 |
| median | 36 |
| Q3 | 292 |
| 95-th percentile | 1850.6 |
| Maximum | 202941.2 |
| Range | 202941.2 |
| Interquartile range (IQR) | 282 |
Descriptive statistics
| Standard deviation | 3593.996656 |
|---|---|
| Coefficient of variation (CV) | 8.047680054 |
| Kurtosis | 2264.708798 |
| Mean | 446.587915 |
| Median Absolute Deviation (MAD) | 35 |
| Skewness | 45.38515893 |
| Sum | 4307787.028 |
| Variance | 12916811.96 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 913 | 9.5% |
| 2 | 198 | 2.1% |
| 1 | 190 | 2.0% |
| 4 | 184 | 1.9% |
| 6 | 163 | 1.7% |
| 3 | 160 | 1.7% |
| 13 | 152 | 1.6% |
| 8 | 149 | 1.5% |
| 14 | 145 | 1.5% |
| 7 | 140 | 1.5% |
| Other values (2509) | 7252 |
| Value | Count | Frequency (%) |
| 0 | 913 | |
| 1 | 190 | 2.0% |
| 2 | 198 | 2.1% |
| 3 | 160 | 1.7% |
| 4 | 184 | 1.9% |
| 5 | 128 | 1.3% |
| 6 | 163 | 1.7% |
| 7 | 140 | 1.5% |
| 8 | 149 | 1.5% |
| 9 | 131 | 1.4% |
| Value | Count | Frequency (%) |
| 202941.2 | 1 | |
| 185507.2464 | 1 | |
| 150000 | 1 | |
| 130882.4 | 1 | |
| 40000 | 1 | |
| 20000 | 1 | |
| 19793.3 | 1 | |
| 15039.37008 | 1 | |
| 13235.3 | 1 | |
| 12877.6 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| county_name | year | agency | report_type | population | murder | rape | robbery | assault | burglary | larceny | auto_theft | total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ATLANTIC | 2017 | Absecon | Number of Offenses | 8,261.00 | 1.00 | 2.00 | 5.00 | 3.00 | 27.00 | 194.00 | 8.00 | 240.00 |
| 1 | ATLANTIC | 2017 | Absecon | Rate Per 100,000 | 8,261.00 | 12.11 | 24.21 | 60.53 | 36.32 | 326.84 | 2,348.38 | 96.84 | 2,905.22 |
| 2 | ATLANTIC | 2017 | Atlantic City | Number of Offenses | 38,601.00 | 13.00 | 24.00 | 227.00 | 161.00 | 319.00 | 1,298.00 | 115.00 | 2,157.00 |
| 3 | ATLANTIC | 2017 | Atlantic City | Rate Per 100,000 | 38,601.00 | 33.68 | 62.17 | 588.07 | 417.09 | 826.40 | 3,362.61 | 297.92 | 5,587.94 |
| 4 | ATLANTIC | 2017 | Brigantine | Number of Offenses | 8,976.00 | 0.00 | 0.00 | 0.00 | 2.00 | 24.00 | 84.00 | 2.00 | 112.00 |
| 5 | ATLANTIC | 2017 | Brigantine | Rate Per 100,000 | 8,976.00 | 0.00 | 0.00 | 0.00 | 22.28 | 267.38 | 935.83 | 22.28 | 1,247.77 |
| 6 | ATLANTIC | 2017 | Buena | Number of Offenses | 4,432.00 | 2.00 | 2.00 | 3.00 | 7.00 | 19.00 | 90.00 | 2.00 | 125.00 |
| 7 | ATLANTIC | 2017 | Buena | Rate Per 100,000 | 4,432.00 | 45.13 | 45.13 | 67.69 | 157.94 | 428.70 | 2,030.69 | 45.13 | 2,820.40 |
| 8 | ATLANTIC | 2017 | Egg Harbor City | Number of Offenses | 4,182.00 | 0.00 | 1.00 | 7.00 | 7.00 | 20.00 | 107.00 | 9.00 | 151.00 |
| 9 | ATLANTIC | 2017 | Egg Harbor City | Rate Per 100,000 | 4,182.00 | 0.00 | 23.91 | 167.38 | 167.38 | 478.24 | 2,558.58 | 215.21 | 3,610.71 |
Last rows
| county_name | year | agency | report_type | population | murder | rape | robbery | assault | burglary | larceny | auto_theft | total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9636 | WARREN | 2020 | WASHINGTON BORO PD | Number of Offenses | 6,535.00 | 0.00 | 0.00 | 0.00 | 2.00 | 15.00 | 37.00 | 1.00 | 55.00 |
| 9637 | WARREN | 2020 | WASHINGTON BORO PD | Rate Per 100,000 | 6,535.00 | 0.00 | 0.00 | 0.00 | 30.60 | 229.50 | 566.20 | 15.30 | 841.60 |
| 9638 | WARREN | 2020 | WASHINGTON BORO PD | Number of Clearances | 6,535.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 2.00 | 1.00 | 5.00 |
| 9639 | WARREN | 2020 | WASHINGTON BORO PD | Percent Cleared | 6,535.00 | 0.00 | 0.00 | 0.00 | 100.00 | 0.00 | 5.00 | 100.00 | 9.00 |
| 9640 | WARREN | 2020 | WASHINGTON BORO PD | Number of Arrests | 6,535.00 | 0.00 | 0.00 | 0.00 | 3.00 | 0.00 | 2.00 | 0.00 | 5.00 |
| 9641 | WARREN | 2020 | WASHINGTON TWP PD | Number of Offenses | 6,434.00 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | 43.00 | 2.00 | 52.00 |
| 9642 | WARREN | 2020 | WASHINGTON TWP PD | Rate Per 100,000 | 6,434.00 | 0.00 | 0.00 | 0.00 | 15.50 | 93.30 | 668.30 | 31.10 | 808.20 |
| 9643 | WARREN | 2020 | WASHINGTON TWP PD | Number of Clearances | 6,434.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 3.00 | 0.00 | 4.00 |
| 9644 | WARREN | 2020 | WASHINGTON TWP PD | Percent Cleared | 6,434.00 | 0.00 | 0.00 | 0.00 | 0.00 | 17.00 | 7.00 | 0.00 | 8.00 |
| 9645 | WARREN | 2020 | WASHINGTON TWP PD | Number of Arrests | 6,434.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | 3.00 | 0.00 | 4.00 |